{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T15:16:14Z","timestamp":1786202174093,"version":"3.56.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319093321","type":"print"},{"value":"9783319093338","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-09333-8_12","type":"book-chapter","created":{"date-parts":[[2014,7,3]],"date-time":"2014-07-03T10:22:38Z","timestamp":1404382958000},"page":"101-112","source":"Crossref","is-referenced-by-count":2,"title":["Cost-Sensitive Bayesian Network Classifiers and Their Applications in Rock Burst Prediction"],"prefix":"10.1007","author":[{"given":"Ganggang","family":"Kong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Chickering, D.M.: Learning Bayesian Networks Is NP-Complete. In: Learning from Data: Artificial Intelligence and Statistics, pp. 121\u2013130 (1996)","DOI":"10.1007\/978-1-4612-2404-4_12"},{"issue":"12","key":"12_CR2","doi-asserted-by":"publisher","first-page":"11022","DOI":"10.1016\/j.eswa.2012.03.022","volume":"39","author":"L. Jiang","year":"2012","unstructured":"Jiang, L., Cai, Z., Zhang, H., Wang, D.: Not So Greedy: Randomly Selected Naive Bayes. Expert Systems With Applications\u00a039(12), 11022\u201311028 (2012)","journal-title":"Expert Systems With Applications"},{"key":"12_CR3","unstructured":"Chai, X., Deng, L., Yang, Q., et al.: Test-Cost Sensitive Naive Bayes Classification. In: Proceedings of the 4th IEEE International Conference on Data Mining, pp. 51\u201358 (2004)"},{"key":"12_CR4","unstructured":"Elkan, C.: The Foundations of Cost-Sensitive Learning. In: Proceedings of 17th International Joint Conference on Artificial Intelligence, vol. 17(1), pp. 973\u2013978. Morgan Kaufmann (2001)"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Ling, C.X., Sheng, V.S.: Cost-Sensitive Learning and the Class Imbalance Problem. In: Encyclopedia of Machine Learning, pp. 231\u2013235 (2008)","DOI":"10.1007\/978-0-387-30164-8_181"},{"issue":"1","key":"12_CR6","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/S1365-1609(97)80039-1","volume":"34","author":"X.T. Feng","year":"1997","unstructured":"Feng, X.T., et al.: A New Direction-Intelligent Rock Mechanics and Rock Engineering. International Journal of Rock Mechanics and Mining Sciences\u00a034(1), 135\u2013141 (1997)","journal-title":"International Journal of Rock Mechanics and Mining Sciences"},{"issue":"2-3","key":"12_CR7","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N. Friedman","year":"1997","unstructured":"Friedman, N., Geiger, D., Goldszmid, T.M.: Bayesian Network Classifiers. Machine Learning\u00a029(2-3), 131\u2013163 (1997)","journal-title":"Machine Learning"},{"key":"12_CR8","unstructured":"Keogh, E., Pazzani, M.: Learning Augmented Bayesian Classifiers: A Comparison of Distribution-Based and Classification-Based Approaches. In: Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, pp. 225\u2013230 (1999)"},{"issue":"1","key":"12_CR9","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s10994-005-4258-6","volume":"58","author":"G.I. Webb","year":"2005","unstructured":"Webb, G.I., Boughton, J.R., Wang, Z.: Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning\u00a058(1), 5\u201324 (2005)","journal-title":"Machine Learning"},{"issue":"2","key":"12_CR10","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1080\/0952813X.2011.639092","volume":"24","author":"L. Jiang","year":"2012","unstructured":"Jiang, L., Zhang, H., Cai, Z., Wang, D.: Weighted Average of One-Dependence Estimators. Journal of Experimental & Theoretical Artificial Intelligence\u00a024(2), 219\u2013230 (2012)","journal-title":"Journal of Experimental & Theoretical Artificial Intelligence"},{"issue":"10","key":"12_CR11","doi-asserted-by":"publisher","first-page":"1361","DOI":"10.1109\/TKDE.2008.234","volume":"21","author":"L. Jiang","year":"2012","unstructured":"Jiang, L., Zhang, H., Cai, Z.: A Novel Bayes Model: Hidden Naive Bayes. IEEE Transactions on Knowledge and Data Engineering\u00a021(10), 1361\u20131371 (2012)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"2-3","key":"12_CR12","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1023\/A:1007692713085","volume":"39","author":"K. Nigam","year":"2000","unstructured":"Nigam, K., Mccallum, A.K., Thrun, S., et al.: Text Classification from Labeled and Unlabeled Documents Using EM. Machine Learning\u00a039(2-3), 103\u2013134 (2000)","journal-title":"Machine Learning"},{"key":"12_CR13","unstructured":"Margineantu, D.D.: Active Cost-Sensitive Learning. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence, vol.\u00a05, pp. 1622\u20131623 (2005)"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Liu, A., Jun, G., Ghosh, J.: Spatially Cost-Sensitive Active Learning. In: Proceedings of the 9th SIAM International Conference on Data Mining, pp. 814\u2013825 (2009)","DOI":"10.1137\/1.9781611972795.70"},{"issue":"5","key":"12_CR15","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1016\/j.is.2011.10.009","volume":"37","author":"T. Wang","year":"2012","unstructured":"Wang, T., Qin, Z., Zhang, S., et al.: Cost-Sensitive Classification With Inadequate Labeled Data. Information Systems\u00a037(5), 508\u2013516 (2012)","journal-title":"Information Systems"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Jiang, L., Li, C., Cai, Z., Zhang, H.: Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. In: Proceedings of the 25th IEEE International Conference on Tools With Artificial Intelligence (ICTAI 2013), Herndon, Virginia, USA, pp. 512\u2013517 (2013)","DOI":"10.1109\/ICTAI.2013.82"},{"key":"12_CR17","unstructured":"Frank, A., Asuncion, A.: UCI Machine Learning Repository. University of California. School of Information and Computer Science, Irvine, CA, 213 (2010), http:\/\/Archive.Ics.Uci.Edu\/Ml"},{"key":"12_CR18","doi-asserted-by":"crossref","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical Machine Learning Tools and Techniques, 3rd edn. Morgan Kaufmann (January 2011) ISBN 978-0-12-374856-0","DOI":"10.1016\/B978-0-12-374856-0.00001-8"},{"issue":"1","key":"12_CR19","first-page":"7","volume":"4","author":"X.T. Feng","year":"1994","unstructured":"Feng, X.T., Wang, L.N.: Rock-Burst Prediction Based on Neural Networks. Transactions of Nonferrous Metals Society of China\u00a04(1), 7\u201314 (1994)","journal-title":"Transactions of Nonferrous Metals Society of China"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theory"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-09333-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,28]],"date-time":"2024-05-28T20:31:51Z","timestamp":1716928311000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-09333-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319093321","9783319093338"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-09333-8_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}